The coordinator is pending

[dby2017]

Hello，
when I started k8s, I encounted this problem "defalult pod/graphscope030i1-conditioner 0/1 Pending 0 g 65s. " How to solve the problem?

[sighingnow]

Hi @dby2017,

I have moved this ticket to the "discussion" tab here to make the discussion could help other users who meet the same problems.

I'm also ccing @lidongze0629 and @siyuan0322 who could provide more related information.

Best regards,
Tao

[dby2017]

Thank you!

[lidongze0629]

Hi, @dby2017
Could you provide more details to describe this problem ? Such as full log，the version of graphscope .

Describe the bug
A clear and concise description of what the bug is.

Screenshots
If applicable, add screenshots to help explain your problem.

Environment (please complete the following information):

• GraphScope version: [e.g., v0.1, v0.2.2, master]
• OS: [e.g. MacOS, Linux]
• Version [e.g. 10.15]
• Kubernetes Version [e.g., 1.19]

Additional context
Add any other context about the problem here.

[dby2017]

hi @lidongze0629 ，
Below is the information of my environment：

• GraphScope version   :   graphscope-0.3.0
• OS   :  CentOS Linux release 7.9.2009 (Core)  ,  vmware envirments on  Laptop  machine  
• Kubernetes Version  :   kubernetes 1.21.0
  

Thank you!

[lidongze0629]

@dby2017

From your screenshots , I believe you have two separate problems.

Problem 1 - CrashLoopBackOff of the pod
you can use kubectl -n <ns> describe pod <pod> and kubectl -n <ns> logs -f <pod> command to view the error message .

Problem 2 - Pending

I found multiple GraphScope instances in your k8s cluster. Maybe the cpu(4 cores) or memory (5G) is not enough for launching multiple instances. you can clear and relaunch it.

[sighingnow]

May I know the environement settings in your case? e.g.,

• Are you working with a "kind" cluster on a laptop/desktop machine?
• How many cores are available?
• And the available physical memory size?

[dby2017]

hi @sighingnow ,
The environment settings in my case:

• OS   :  CentOS Linux release 7.9.2009 (Core)  ,  vmware envirments on  Laptop  machine  
• Cores 4 on per machine
• available physical memory size :  5G on per machine